Accelerates AI Development With Thermal Imaging
Teledyne FLIR launched Conservator on 10 February – a cloud-based dataset development subscription software for perception engineers, using thermal, infrared (IR) and visible image datasets to train neural networks. The data lifecycle management (DLM) application optimises dataset development with access to an annotated IR and visible library for neural network training and advanced model performance testing
Subscribers also gain access to application-specific segments of the Teledyne FLIR annotated image library – over one million images, with more than 100 object label categories. Designed to meet the workflow demands of data scientists in automotive, defence, security, and smart cities applications, Conservator scales to support enterprise AI teams in the R&D of object detection models.
“Conservator is a powerful application for data scientists developing datasets with a full complement of workflow functions including annotation, version control, data right access and model performance,” said Arthur Stout, Director of AI Product Management at Teledyne FLIR Infrared Imaging OEM. “AI starts with quality data and this application supports collaboration to advance multi-sensor neural network development in commercial and defense AI applications.”
Conservator includes dataset workflow tools for annotation, curation, quality assurance, and dataset version control. Built on a scalable and stable database, Conservator can manage petabyte-scale libraries. In addition, the included Conservator Insights desktop tool provides analysis and visualisation of model performance against ground truth references. This empowers data scientists to quickly pinpoint the specific images in large datasets causing false positives or missed detections, enabling rapid dataset iteration and neural network re-training.
